The trouble with facial-recognition software is faces. A computer
probably wouldn’t recognize Osama bin Laden if the lighting or his
expression didn’t match those in a database image of him. Using a
specialized form of mathematics called tensor algebra, Alex
Vasilescu—a research scientist at New York University and a computer
science PhD candidate at the University of Toronto—has developed
breakthrough recognition algorithms called TensorFaces. The
algorithms promise to enhance computers’ ability to match multiple
characteristics of a face in ways that overcome vagaries of shading,
angle, or expression. The U.S. Department of Defense is funding
Vasilescu’s research because of its antiterrorism potential. She can
also generate “motion signatures” on the basis of a person’s
gait—walking, dancing, or running. Such gait changes can indicate
the onset of certain illnesses. Finally, Vasilescu’s algorithms
could help computers impart realistic textures to images of hair and
fabric, which could yield better graphics for video games and
movies.